The Central Indian Ocean (CIO) mode provides a dynamical basis for the prediction of monsoon intraseasonal rainfall The machine learning (ML) algorithm suppresses high-frequency noise while capturing the real-time CIO mode index The dynamics and ML hybrid forecast system can skillfully predict monsoon...
38. This holds true for the 1-year-lead prediction of the Asian summer monsoon. Figure4presents the ensemble size dependency of the prediction skill. The correlation coefficients for
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Oceanic drivers and empirical prediction of interannual rainfall variability in late summer over Northeast China. Climate Dyn. , 2022 , 58(3−4): 861 -878 CrossRef Google Scholar [39] Zhao Zongci, Luo Yong, Huang Jianbin. A review on evaluation methods of climate modeling. Climate ...
Therefore, this study is intended toward understanding the nature of monsoon and classification of methodologies implemented for its early prediction so far. Following an analysis of every model currently in use, it was discovered that deep learning models outperform all other models. However, as the...
for the prediction of the SCSSM onset, while sea surface temperature (SST) in the Northwest Pacific, associated with El Niño-Southern Oscillation (ENSO) and the Pacific Decadal Oscillation, can provide a basis for predicting the types of ISO evolution before the monsoon outbreaks (Wang et al...
Peak-summer East Asian Rainfall Predictability and Prediction: Extratropical East Asia The part II of the present study focuses on northern East Asia (NEA: 26掳N-50掳N, 100掳-140掳E), exploring the source and limit of the predictability of th... SY Yim,B Wang,H Kim,... - 《Climate ...
for the main kharif crops. On the other hand excessive rainfall in a particular growing area would enhance crop loss or lower productivity/yield risk, leading crop in the output. It is important to note that the Monsoon prediction is very difficult since the Monsoon related activitie...
The quasi-periodic intraseasonal signals drive the highly potent subseasonal to seasonal (S2S) prediction. Despite enigmatic predictability, the S2S forecasting techniques have hugely improved over recent times. The next phase of the ensemble prediction system for the S2S scale is being developed to com...
2011). In addition, the vertical velocity at a resolution of 2.5° × 2.5° was sourced from the National Centers for Environment Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis data (Kalnay et al. 1996), while the daily precipitation data at a horizontal ...